Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "142"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 142 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 25 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 25 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 142, Node N13:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460008 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 1.320421 18.568174 -1.035015 15.321342 1.038117 7.756742 6.047427 5.559762 0.6667 0.0536 0.5192 nan nan
2460007 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 1.963894 13.905329 -0.529303 11.983786 1.598572 7.197182 14.908117 2.614054 0.6311 0.0502 0.4873 nan nan
2459999 RF_maintenance 0.00% 99.25% 99.58% 0.00% - - nan nan nan nan nan nan nan nan 0.2570 0.1704 0.2077 nan nan
2459998 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 1.369642 11.705187 -0.483678 10.144930 2.700625 10.204106 23.118349 1.841567 0.6250 0.0436 0.5158 nan nan
2459997 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 1.301240 12.778111 -0.645516 10.899329 1.430996 9.592119 34.584824 3.078922 0.6353 0.0493 0.5265 nan nan
2459996 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 0.156022 13.765669 -0.535953 13.341237 1.119737 9.227276 15.480873 1.555955 0.6474 0.0481 0.5272 nan nan
2459995 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 0.523807 14.007642 -0.885245 12.540608 2.608369 9.470772 16.285690 1.138255 0.6283 0.0533 0.5048 nan nan
2459994 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 1.545508 13.574923 -0.579602 10.984796 2.199245 9.547638 13.833971 1.845404 0.6209 0.0461 0.4988 nan nan
2459993 RF_maintenance 100.00% 0.00% 98.65% 0.00% - - 1.853595 12.519218 -0.776154 10.187067 2.455601 10.929086 13.464073 2.392706 0.6049 0.0391 0.4786 nan nan
2459991 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 1.922869 15.793636 -0.577187 10.779729 2.288659 10.724087 18.165699 0.800097 0.6416 0.0442 0.5314 nan nan
2459990 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 1.339833 12.995851 -0.454022 10.472556 3.111058 11.035735 27.945670 0.712955 0.6380 0.0476 0.5195 nan nan
2459989 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 1.429893 13.179817 -0.417329 9.573213 2.979499 9.269421 23.041763 0.803117 0.6287 0.0430 0.5132 nan nan
2459988 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 2.176444 15.428358 -0.592724 10.764141 3.085513 13.221599 18.605401 0.575794 0.6325 0.0435 0.5162 nan nan
2459987 RF_maintenance 100.00% 0.00% 99.46% 0.00% - - 1.721564 12.920023 -0.706702 10.618807 1.842219 7.979937 17.181857 2.534595 0.6430 0.0484 0.5258 nan nan
2459986 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 2.266101 15.870448 -0.711982 11.461019 2.568363 11.244842 9.293835 9.609154 0.6626 0.0466 0.5147 nan nan
2459985 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 1.456912 14.300886 -0.770831 10.675858 1.680094 8.598208 20.549597 1.926432 0.6428 0.0460 0.5265 nan nan
2459984 RF_maintenance 100.00% 0.00% 98.27% 0.00% - - 1.296920 13.785705 -0.921792 11.057506 0.426138 12.123729 12.238915 3.592015 0.6579 0.0531 0.5266 nan nan
2459983 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 1.926935 13.470395 -0.551626 10.473226 1.550687 11.137227 11.481686 6.155150 0.6607 0.0482 0.5145 nan nan
2459982 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 0.093931 11.339710 -0.186002 8.926253 1.919032 5.292733 2.248725 3.237823 0.7141 0.0477 0.5332 nan nan
2459981 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 1.552862 12.412368 -0.622720 11.145287 2.438406 12.343256 26.511627 0.898424 0.6330 0.0475 0.5138 nan nan
2459980 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 1.235067 11.909353 -0.736380 10.181780 2.077859 10.789878 2.223898 5.275203 0.6793 0.0492 0.5220 nan nan
2459979 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 1.489029 12.473747 -0.677673 9.529898 2.501544 10.095289 26.795730 0.915068 0.6275 0.0435 0.5118 nan nan
2459978 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 1.767233 12.687495 -0.715527 10.258069 2.713999 10.972449 27.506670 1.042067 0.6275 0.0418 0.5194 nan nan
2459977 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 1.654635 13.435796 -0.738445 10.106463 1.786997 11.285671 17.598779 1.034453 0.5951 0.0490 0.4832 nan nan
2459976 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 1.408920 12.895878 -0.672527 10.534059 3.331777 10.854490 22.924542 1.182155 0.6325 0.0432 0.5160 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 142: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance nn Shape 18.568174 18.568174 1.320421 15.321342 -1.035015 7.756742 1.038117 5.559762 6.047427

Antenna 142: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 14.908117 1.963894 13.905329 -0.529303 11.983786 1.598572 7.197182 14.908117 2.614054

Antenna 142: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 142: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 23.118349 1.369642 11.705187 -0.483678 10.144930 2.700625 10.204106 23.118349 1.841567

Antenna 142: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 34.584824 1.301240 12.778111 -0.645516 10.899329 1.430996 9.592119 34.584824 3.078922

Antenna 142: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 15.480873 0.156022 13.765669 -0.535953 13.341237 1.119737 9.227276 15.480873 1.555955

Antenna 142: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 16.285690 0.523807 14.007642 -0.885245 12.540608 2.608369 9.470772 16.285690 1.138255

Antenna 142: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 13.833971 1.545508 13.574923 -0.579602 10.984796 2.199245 9.547638 13.833971 1.845404

Antenna 142: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 13.464073 1.853595 12.519218 -0.776154 10.187067 2.455601 10.929086 13.464073 2.392706

Antenna 142: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 18.165699 1.922869 15.793636 -0.577187 10.779729 2.288659 10.724087 18.165699 0.800097

Antenna 142: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 27.945670 12.995851 1.339833 10.472556 -0.454022 11.035735 3.111058 0.712955 27.945670

Antenna 142: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 23.041763 13.179817 1.429893 9.573213 -0.417329 9.269421 2.979499 0.803117 23.041763

Antenna 142: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 18.605401 15.428358 2.176444 10.764141 -0.592724 13.221599 3.085513 0.575794 18.605401

Antenna 142: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 17.181857 1.721564 12.920023 -0.706702 10.618807 1.842219 7.979937 17.181857 2.534595

Antenna 142: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance nn Shape 15.870448 15.870448 2.266101 11.461019 -0.711982 11.244842 2.568363 9.609154 9.293835

Antenna 142: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 20.549597 14.300886 1.456912 10.675858 -0.770831 8.598208 1.680094 1.926432 20.549597

Antenna 142: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance nn Shape 13.785705 1.296920 13.785705 -0.921792 11.057506 0.426138 12.123729 12.238915 3.592015

Antenna 142: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance nn Shape 13.470395 1.926935 13.470395 -0.551626 10.473226 1.550687 11.137227 11.481686 6.155150

Antenna 142: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance nn Shape 11.339710 0.093931 11.339710 -0.186002 8.926253 1.919032 5.292733 2.248725 3.237823

Antenna 142: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 26.511627 12.412368 1.552862 11.145287 -0.622720 12.343256 2.438406 0.898424 26.511627

Antenna 142: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance nn Shape 11.909353 11.909353 1.235067 10.181780 -0.736380 10.789878 2.077859 5.275203 2.223898

Antenna 142: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 26.795730 1.489029 12.473747 -0.677673 9.529898 2.501544 10.095289 26.795730 0.915068

Antenna 142: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 27.506670 12.687495 1.767233 10.258069 -0.715527 10.972449 2.713999 1.042067 27.506670

Antenna 142: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 17.598779 1.654635 13.435796 -0.738445 10.106463 1.786997 11.285671 17.598779 1.034453

Antenna 142: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
142 N13 RF_maintenance ee Temporal Discontinuties 22.924542 12.895878 1.408920 10.534059 -0.672527 10.854490 3.331777 1.182155 22.924542
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